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International Journal of Bioprinting                                 Bioprinting organoids for toxicity testing




            of dispersing the tissue into single cells  for  making cell   expanding.  Jiang  et al.   summarized  and  analyzed  the
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            suspension. Afterward, cell culture is carried out. The   promoting and repairing effects of hydrogels made from
            cultured cell monolayer is subjected to mitotic blocker   crosslinkable materials on tissue regeneration function, and
            treatment. On the trophoblast layer, stem cells can better   further proposed some innovative technologies to improve
            attach and grow. After somatic cells are reprogrammed   the development of hydrogels for more efficient tissue
            and cloned cell populations are obtained, mechanical   regeneration, such as 3D bioprinting, medical Internet
            propagation and subsequent 3D bioprinting processes are   of Things (IoMT), and AI. However, the development of
            carried out (Figures 4 and 5).                     AI technology still requires plenty of data support and
               The combination of AI-based automation control and in   algorithm optimization,  and there is a certain learning
            vitro bioprinting technology is expected to achieve efficient   curve in the process. In addition, biocompatibility and
            and accurate islet construction, revolutionize diabetes   safety of structures bioprinted with AI assistance should be
            treatment and research, and promote the development of   considered when evaluating the performance of AI-based
            personalized medicine. Artificial intelligence algorithms   programs used for bioprinting.
            are used to optimize printing paths, reduce waste, and
            improve efficiency.  Safir  et al.  devised a strategy to   4. 3D bioprinting of in vitro pancreatic
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            identify pathogens in samples, such as blood, urine, and
            wastewater,  using  acoustic  bioprinting  with  AI-assisted   cancer models
            Raman spectroscopy. After performing a comprehensive   4.1. Application of bioprinting in the evaluation of
            review and analysis on the role of bioprinting and AI in   anti-pancreatic cancer drugs
            the treatment of hepatocellular carcinoma, Christou et al.    Bioprinting has shown great potential in the  in vitro
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            found that the use of AI and 3D printing in hepatocellular   evaluation of anti-pancreatic cancer drugs. Since pancreatic
            carcinoma management and healthcare is steadily    cancer is malignant, the evaluation of drug efficacy is very








































                                   Figure 4. Processes of bioprinting pancreatic islet tailored to personalized needs.





            Volume 10 Issue 1 (2024)                       131                          https://doi.org/10.36922/ijb.1256
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